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Field
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-of-the-art models for computer vision based on Machine Learning. Work plan: - Analysis and study of existing resources. - Analysis of the state of the art in universal adversarial attacks on computer vision
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-of-the-art models for computer vision based on Machine Learning. - Analysis and Study of existing resources; - Analysis of the state of the art in adversarial attacks and adversarial training and their
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on multiscale subsurface imaging using advanced geophysical imaging techniques and on investigating how subsurface structure, material composition, and geodynamic processes influence regional seismicity. Key
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topics for independent study projects include modeling carbon tradeoffs under unplanned fire and the long-term outcomes of restoration treatments for structure, composition, and tree vigor. The fellow will
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of the project “PROSPER: Predictive models for sustainable protein recovery”, funded by FEDER and by National Funds through FCT (Operation No. 15391 — COMPETE2030-FEDER-00907300), under the following conditions
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. Improve the SNN-based model head and compare its performance and efficiency with the standard (non-spiking) model. 3. Add simple explainability methods and check how the models behave under fairness and
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 3 months ago
models and simulation. Construction of optical circuits for LIBS testing in laboratory using laser Systems available in our research group Duration: The research fellowship(s) will have the duration
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the correlation between catalyst composition/structure and their effects on chemical reactions. The catalysts can be of organic and/or inorganic origin. The section has approximately 35 members, subdivided
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on https://apply.uc.pt/ . VII.IX -Jury Composition: President: Paulo José Venda Oliveira Effective Members: António Alberto Santos Correia, Licínio Manuel Gando de Azevedo Ferreira and António Manuel
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. VII.VIII - All provisional and final jury decisions must be justified, recorded in minutes, and published on https://apply.uc.pt/. ; VII.IX - Jury Composition: President: Mikhail Ordin Effective Members